AMERICAN STATISTICIAN

Scope & Guideline

Empowering research through high-quality statistical discourse.

Introduction

Immerse yourself in the scholarly insights of AMERICAN STATISTICIAN with our comprehensive guidelines detailing its aims and scope. This page is your resource for understanding the journal's thematic priorities. Stay abreast of trending topics currently drawing significant attention and explore declining topics for a full picture of evolving interests. Our selection of highly cited topics and recent high-impact papers is curated within these guidelines to enhance your research impact.
LanguageEnglish
ISSN0003-1305
PublisherTAYLOR & FRANCIS INC
Support Open AccessNo
CountryUnited Kingdom
TypeJournal
Convergefrom 1947 to 2024
AbbreviationAM STAT / Am. Stat.
Frequency4 issues/year
Time To First Decision-
Time To Acceptance-
Acceptance Rate-
Home Page-
Address530 WALNUT STREET, STE 850, PHILADELPHIA, PA 19106

Aims and Scopes

The American Statistician is dedicated to advancing the field of statistics through the dissemination of high-quality research and methodologies. The journal emphasizes the application of statistical principles across various domains, fostering a deeper understanding of statistical theory and practice.
  1. Statistical Methodology and Theory:
    Focuses on the development and refinement of statistical methods, including the exploration of new techniques and algorithms for data analysis.
  2. Applications in Diverse Fields:
    Highlights the application of statistical techniques in various sectors such as medicine, social sciences, and engineering, demonstrating the versatility of statistical methods.
  3. Educational Resources and Curriculum Development:
    Provides insights into teaching statistics, including curriculum design and pedagogical strategies aimed at enhancing statistical education.
  4. Data Science and Computational Statistics:
    Explores the intersection of statistics with data science, emphasizing computational approaches and the use of programming languages like R and Python for data analysis.
  5. Ethics and Best Practices in Statistics:
    Addresses issues related to ethical considerations in statistical practice, including data privacy and reproducibility of research findings.
Recent publications in The American Statistician indicate a shift towards contemporary themes that reflect current challenges and advancements in the field. These emerging topics showcase the journal's responsiveness to the evolving landscape of statistical research.
  1. Machine Learning and Statistical Learning:
    An increasing number of papers are focusing on the integration of statistical methods with machine learning techniques, underscoring a trend towards hybrid approaches in data analysis.
  2. Bayesian Methods and Applications:
    There is a notable rise in the use of Bayesian statistics, with researchers exploring its applications across various fields, indicating a shift in preference from frequentist methods.
  3. Data Science and Big Data Analytics:
    The journal is publishing more articles on data science methodologies and big data analytics, reflecting the growing importance of these areas in statistical research.
  4. Causal Inference and Treatment Effect Estimation:
    Emerging themes include advanced methods for causal inference, particularly in observational studies, highlighting the importance of understanding treatment effects in real-world scenarios.
  5. Statistical Ethics and Reproducibility:
    There is a growing focus on ethical issues in statistics, including data privacy and reproducibility, as the field grapples with the implications of data-driven decision-making.

Declining or Waning

While the journal continues to thrive in various research areas, certain themes have shown a decline in prominence over recent years. This may reflect shifts in the broader statistical landscape or the evolving interests of the research community.
  1. Traditional Hypothesis Testing:
    There is a noticeable decrease in papers focused solely on classical hypothesis testing methods, as the field increasingly embraces Bayesian approaches and alternative inference methods.
  2. Basic Statistical Theory without Application:
    Papers that discuss fundamental statistical theories in isolation from real-world applications are less frequent, indicating a trend towards more applied and interdisciplinary research.
  3. Descriptive Statistics as a Standalone Topic:
    The standalone exploration of descriptive statistics has waned, with researchers now often integrating these concepts into broader analyses rather than treating them as separate topics.
  4. Simple Linear Regression Models:
    The prevalence of simple linear regression analyses has declined as more complex models and multivariate approaches gain traction, reflecting the need for more sophisticated analytical techniques.
  5. Single-Domain Studies:
    Research focusing exclusively on a single domain without interdisciplinary connections is becoming less common, with a growing emphasis on studies that integrate multiple disciplines.

Similar Journals

Journal of Official Statistics

Advancing the Frontiers of Official Statistics
Publisher: SAGE PUBLICATIONS INCISSN: 0282-423XFrequency: 4 issues/year

The Journal of Official Statistics, published by SAGE Publications Inc, is a premier open-access journal that has been fostering advancements in the field of statistics since its inception. With its focus on disseminating high-quality research from 1986 to present, this journal provides a vital platform for statistical practices, innovations, and methodologies applicable to various domains, including governmental and organizational data analysis. Recognized as a Q2 journal in the Statistics and Probability category with a Scopus ranking of #143 out of 278, the Journal of Official Statistics boasts a significant impact in informing statisticians and practitioners alike. Located in Sweden, this journal has embraced open access since 2013, ensuring that its comprehensive and research-driven content is accessible to a global audience. Whether you are a researcher, professional, or student, this journal serves as an essential resource for staying informed about the latest trends and discussions in the official statistical community.

Journal of Probability and Statistics

Fostering Innovation in Probability Research
Publisher: HINDAWI LTDISSN: 1687-952XFrequency: 1 issue/year

Journal of Probability and Statistics, published by HINDAWI LTD, is a distinguished open-access journal that has been serving the academic community since 2009. With an ISSN of 1687-952X and E-ISSN 1687-9538, this journal facilitates the dissemination of research covering various foundational and applied aspects of probability and statistics. As researchers, professionals, and students in the fields of mathematics and statistical sciences seek to advance their knowledge and understanding, this journal offers a unique platform for innovative studies and comprehensive reviews. Although the journal has been discontinued from Scopus from 2009 to 2020, it continues to play an essential role within its niche, despite its Scopus ranking of #181/227 (20th percentile) in Statistics and Probability. The open-access model ensures that valuable findings are readily accessible to a global audience, fostering collaboration and engagement across diverse disciplines. Join the multitude of contributors and readers who rely on the Journal of Probability and Statistics as a vital resource for research and education in this ever-evolving field.

AUSTRALIAN & NEW ZEALAND JOURNAL OF STATISTICS

Bridging Theory and Application in Statistical Science
Publisher: WILEYISSN: 1369-1473Frequency: 4 issues/year

AUSRALIAN & NEW ZEALAND JOURNAL OF STATISTICS, published by Wiley, stands as a significant platform for the dissemination of statistical knowledge and applications, specifically within the realms of statistics and probability. With an impact factor reflective of its quality and standing, the journal operates in a Q3 category for both Statistics and Probability, as well as Statistics, Probability, and Uncertainty, positioning it among the important scholarly resources in its field. As a valuable resource for researchers, professionals, and students, the journal encourages the submission of innovative research articles that push the boundaries of statistical science. Offering both print and open access options, it ensures broad accessibility, promoting a culture of collaboration and knowledge sharing across the global statistical community. Covering research from 1998 to 2024, it remains dedicated to advancing understanding in statistical methodologies and their applications, cementing its role in fostering academic discourse and practical advancements in the field.

Thailand Statistician

Elevating the Standards of Statistical Methodologies
Publisher: THAI STATISTICAL ASSOCISSN: 1685-9057Frequency: 2 issues/year

Thailand Statistician, published by the THAI STATISTICAL ASSOCIATION, is a pivotal journal in the realms of computational mathematics and statistics. With an ISSN of 1685-9057 and an E-ISSN of 2351-0676, this journal aims to disseminate high-quality research and innovative methodologies that advance the fields of statistics and probability. Covering a range of topics from theoretical statistics to applied computational techniques, it provides a platform for researchers, professionals, and students in Thailand and beyond to contribute their findings and insights. The journal has been gaining recognition, boasting a Scopus ranking of Q3 in Computational Mathematics and Q4 in Statistics and Probability as of 2023. With its commitment to open access, the Thailand Statistician stands as an essential resource for those striving to stay abreast of advancements in statistical methodologies and their applications, fostering the growth of statistical science in the region and globally.

STATISTICS

Advancing statistical science for a brighter future.
Publisher: TAYLOR & FRANCIS LTDISSN: 0233-1888Frequency: 6 issues/year

STATISTICS is a distinguished journal published by Taylor & Francis Ltd, dedicated to advancing the field of statistical science since its inception in 1985. With a strong focus on both the theoretical and practical aspects of Statistics and Probability, this journal serves as a vital platform for researchers, professionals, and students seeking to disseminate their findings and contribute to critical discussions in the discipline. Although categorized in the Q3 quartile for both Statistics and Probability and Statistics, Probability and Uncertainty, the journal's commitment to quality research is evidenced by its inclusion in relevant Scopus rankings. It holds respectable positions, ranked #132/168 in Decision Sciences and #219/278 in Mathematics. By providing a venue for high-quality research articles and reviews, STATISTICS aims to foster innovation, reinforce methodological advancements, and address contemporary challenges in statistical applications. The journal does not currently offer open access, but it is widely distributed, ensuring that significant research reaches the communities that need it most. Researchers are encouraged to submit their work to this essential resource that continues to shape the landscape of statistical inquiry.

STATISTICS AND COMPUTING

Innovating statistical theory for a data-driven world.
Publisher: SPRINGERISSN: 0960-3174Frequency: 1 issue/year

Statistics and Computing is a premier journal published by Springer, dedicated to advancing the fields of statistics and computational theory. With a strong focus on interdisciplinary research, this journal covers a broad spectrum of topics including, but not limited to, statistical methodologies, computational algorithms, and the latest advancements in data analysis. As of 2023, it proudly holds a Q1 ranking in multiple categories including Computational Theory and Mathematics and Statistics and Probability, underscoring its significant influence and recognition within the academic community. The journal's impact is further demonstrated by its commendable positions in Scopus ranks, making it a valuable resource for researchers, professionals, and students alike. Published in the Netherlands, Statistics and Computing is known for its rigorous peer-review process and commitment to quality, ensuring that only the most impactful research is disseminated to the global audience. Submissions from a diverse range of backgrounds are encouraged, fostering an inclusive environment for innovation and collaboration in the statistics and computing realm.

Hacettepe Journal of Mathematics and Statistics

Bridging Theory and Application in Mathematical Research
Publisher: HACETTEPE UNIV, FAC SCIISSN: Frequency: 6 issues/year

Hacettepe Journal of Mathematics and Statistics, published by Hacettepe University in Turkey, is a vital platform for scholars in the fields of mathematics and statistics. With a commitment to promoting rigorous research, this journal covers a diverse range of topics including Algebra and Number Theory, Analysis, Geometry and Topology, and Statistics and Probability. Since its inception in 2008 and looking forward to its continued convergence up until 2024, it has established itself as a resource for both theoretical and applied mathematics. Although it currently holds a Q4 ranking in Algebra and Number Theory and Q3 in multiple other categories, its commitment to quality research is evident through its Scopus rankings, positioning it favorably among its peers. The journal operates on an open access model, facilitating wide dissemination of knowledge, and is particularly appealing to researchers, professionals, and students aiming to stay at the forefront of mathematical sciences. With an E-ISSN of 2651-477X, the Hacettepe Journal of Mathematics and Statistics aspires to foster collaboration and innovation in the mathematical community.

RMS-Research in Mathematics & Statistics

Unlocking the Future of Mathematical and Statistical Research
Publisher: TAYLOR & FRANCIS LTDISSN: Frequency: 1 issue/year

RMS-Research in Mathematics & Statistics is a leading journal published by Taylor & Francis Ltd that focuses on advancing knowledge in the fields of mathematics and statistics. With an emphasis on both theoretical developments and practical applications, this journal aims to bridge the gap between academic research and real-world implementations, making it a vital resource for researchers, professionals, and students alike. As an Open Access publication, RMS ensures that cutting-edge research is freely available to a global audience, fostering collaboration and innovation in the mathematical and statistical communities. The journal encourages submissions that address significant challenges and explore new methodologies across various disciplines, emphasizing the importance of rigorous scholarship and impactful findings. With the increasing relevance of data analysis and mathematical modeling in today's world, RMS serves as an essential platform for disseminating high-quality research that can influence the future directions of these critical fields.

Korean Journal of Applied Statistics

Fostering Excellence in Statistical Research and Applications
Publisher: KOREAN STATISTICAL SOCISSN: 1225-066XFrequency: 6 issues/year

Korean Journal of Applied Statistics, published by the Korean Statistical Society, is a prominent journal dedicated to advancing the field of applied statistics. ISSN 1225-066X (Print) and E-ISSN 2383-5818 (Online), this journal serves as a vital platform for disseminating high-quality research that addresses the latest methodologies, applications, and innovations in statistical practices. Though currently not an open-access journal, it aims to foster collaboration among statisticians, researchers, and practitioners by providing rigorous peer-reviewed articles that enhance understanding and application of statistical techniques across various disciplines. With a commitment to integrating theory and practice, the Korean Journal of Applied Statistics stands as a crucial resource for those seeking to influence the evolving landscape of statistical research and its applications in Korea and beyond.

COMPUTATIONAL STATISTICS & DATA ANALYSIS

Transforming Data into Knowledge with Precision
Publisher: ELSEVIERISSN: 0167-9473Frequency: 12 issues/year

COMPUTATIONAL STATISTICS & DATA ANALYSIS, published by Elsevier, is a leading academic journal that has made significant contributions to the fields of Applied Mathematics, Computational Mathematics, Computational Theory and Mathematics, and Statistics and Probability. With an impressive ranking of Q1 in multiple categories, this journal stands at the forefront of scholarly research and innovation. Leveraging its digital accessibility through E-ISSN 1872-7352, the journal facilitates the dissemination of high-quality research findings and methodologies essential for advancing statistical techniques and data analysis applications. Operating from its base in Amsterdam, Netherlands, the journal features rigorous peer-reviewed articles that cater to a diverse readership including researchers, professionals, and students. As a vital resource for cutting-edge developments from 1983 to its ongoing publication in 2025, COMPUTATIONAL STATISTICS & DATA ANALYSIS continues to foster academic discourse and propel the field forward, ensuring that emerging trends and established theories are effectively communicated to the scientific community.